For two events M and N, P(M)=0.6, P(N|M)=0.3, P(N|M')=0.2. Find P(M|N')
hi
i said hi
hi! @Gabbar
the second one should be P(N'|M) =0.3, right?
If it is so, using Baye's theorem to find P(M|N') If it is not, I don't know how to solve. :)
no thats what's confusing me is why it's set up that way
unless its a typo
hihihi, I am useless then. I am sorry. @ganeshie8
is the N' the complement of N?
Another prob problem hsha. you sure like this aren't you? hehe but seriously probs are pretty amazing stuff
haha im not having too much fun with them
Okay! you should be having fun hehe
okay let's give a shot! P(M/N')=P(N'/M)P(M)/P(N'/M)P(M)+P(N'/M')P(M') is this how we wrote that thing before?
well this should the thm that oops talked about!
i think it may have been a typo but ill work that out!
So far i got \(\large\frac{P(N' and M)}{P(N' and M)+0.4\times0.7}\)
we need to find that P(N' and M) to get this hehe
I guess there is not typo you just have to find a way through this!
Any Ideas! more minds are always better hehe. i might be missing something that you guys paid attention to
i based this if N' is the complement of N
so N'=0.7 right?
where did you got that? 0.7 is complement of P(N' given M') not P(N') apparently we don't have P(N) so no P(N') either hehe
ahh nevermind i was getting it from P(N|M)
well that's the complement of P(N' given M') that's why it 0.7
"0.7 is complement of P(N' given M') not P(N')" Actually what i said here is not true it is the opposite i meant the complement for P(N/M)
Anyways we need something to get that P(N and M')
we need to find P(N) right?
I'm looking for P(n) to get P(n') we want to get P(N' and M) correction for the line i made earlier
Apparently we have P(N/M')=0.2
so P(N/M')=P(N)P(M')/P(M')=0.2 hence P(N)=0.2 So P(N')=1-0.2=0.8
does that sound fine?
we already have P(M) so P(N' and M)=P(N')P(M)=0.8\(\times\)0.6=0.48
\(\huge \frac{0.48}{0.48+0.4\times0.7}\)
I'm not sure im doing this good hehe. i might be used some wrong steps xD
ganesh is this P(N'/M') complement of P(N/M) not sure that's true!
Actually we still have to ask are we dealing with independent events or not?
yes bayee's theorem works :) we may use contingency table : |dw:1407813623962:dw|
Oh that pretty good, never used such table ^_^
filling in the given info : ` P(M)=0.6, P(N|M)=0.3, P(N|M')=0.2.` |dw:1407813767783:dw|
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